Kai Mu

892 citations
57 papers · 718 indexed · h-index 15

Impact in

Papers in

    • Fluid Dynamics and Heat Transfer 28
    • Combustion and flame dynamics 5
    • Fluid Dynamics and Turbulent Flows 4
    • Innovative Microfluidic and Catalytic Techniques Innovation 13
    • Fluid Dynamics and Mixing 5

Kai Mu

50 papers receiving 705 citations

Peers

Kai Mu
Comparison fields: 5 of 75
  • Surfaces, Coatings and Films 159
  • Computational Mechanics 292
  • Renewable Energy, Sustainability and the Environment 100
  • Biomedical Engineering 246
  • Electrical and Electronic Engineering 263
Replace Seyed Farshid Chini with:
Seyed Farshid Chini Iran
Zhuwei Gao China
Longyang Li China
Ishita Sarkar India
Xuesong Lu China
Ningning Hu China
Dewu Wang China
Yanlong Zhan China
Masato Yamamura Japan
Kai Mu relative to Seyed Farshid Chini Iran Seyed Farshid Chini's profile →
Citations per field
00.5×2.6×
Seyed Farshid Chini · 1×
Citations per year

Countries citing papers authored by Kai Mu

Since Specialization
Citations

This map shows the geographic impact of Kai Mu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Mu more than expected).

Fields of papers citing papers by Kai Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Mu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Mu. The network helps show where Kai Mu may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Mu Line = papers co-authored together Kai Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 201773
3 201352
4 201942
5 202437
6 201835
7 202023
8 202019
9 201219
10 202019
11 202318
12 202117
13 202316
14 202015
15 202114
16 201913
17 202213
18 202312
19 201912
20 201812

About Kai Mu

Kai Mu is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Ocean Engineering and Mechanics of Materials, having authored 57 papers that have together received 718 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (28 papers), Innovative Microfluidic and Catalytic Techniques Innovation (13 papers), Electrohydrodynamics and Fluid Dynamics (11 papers), Advanced Battery Materials and Technologies (5 papers), Fluid Dynamics and Mixing (5 papers), Combustion and flame dynamics (5 papers), Surface Modification and Superhydrophobicity (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (159 citations), Computational Mechanics (292 citations), Renewable Energy, Sustainability and the Environment (100 citations), Biomedical Engineering (246 citations) and Electrical and Electronic Engineering (263 citations). Kai Mu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ting Si, Hang Ding, Ronald X. Xu, Haoran Liu, Zhiqiang Zhu, Peng Gao, Yang Zhu, Xi‐Yun Lu, Chaoyu Yang and Hua Fan. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Lab on a Chip, Advanced Materials Technologies and Physical Review Fluids.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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